CN104751634A - Comprehensive application method of expressway tunnel driving image acquisition information - Google Patents
Comprehensive application method of expressway tunnel driving image acquisition information Download PDFInfo
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- CN104751634A CN104751634A CN201510192914.7A CN201510192914A CN104751634A CN 104751634 A CN104751634 A CN 104751634A CN 201510192914 A CN201510192914 A CN 201510192914A CN 104751634 A CN104751634 A CN 104751634A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
Abstract
The invention provides a comprehensive application method of expressway tunnel driving image acquisition information. video information is acquired by infrared shooting, changes in tunnel driving images and their backgrounds caused by lighting of different lamps can be maximally avoided, difficulty of late image processing can be reduced, feature information of the images is acquired by subjecting the acquired video information to image processing, and finally the feature information is encoded as a control parameter to adjust LED tunnel lamp lighting brightness. The method has the advantages that accuracy is high, tunnel lamps are turned on when vehicles get close and are turned off when the vehicles leave, and energy is effectively saved at the premise of ensuring tunnel driving safety; during detecting the tunnel vehicle information by image analysis, information output through the method necessarily include speeds of vehicles at a monitoring site, quantity of the vehicle, passing time, feature images, vehicle types, license plates and the like, the information is stored, traffic police officers are assisted by data mining in looking into violations of laws, assisting the criminal police in querying the information of suspects, including the time of their vehicles passing a tunnel and the license plates.
Description
Technical field
The present invention relates to highway lighting technical field, especially a kind of freeway tunnel road map is as the integrated application method of Information Monitoring.
Background technology
In intelligent illumination control system for highway tunnels runs, the quantity of accurate detection by the vehicle of tunnel nodes, the speed of a motor vehicle of the fastest vehicle, realize tunnel " bright, the car of car low beam is crossed lamp and gone out, provides suitable illumination according to the speed of a motor vehicle ", ensureing gordian technique effectively energy-conservation under the prerequisite of traffic safety in tunnel.And the primary goal of intelligent lighting system ensures safe driving in tunnel, next is only energy-conservation.Accurate judgement information of sending a car is extremely important, adopted the methods such as geomagnetic method, infrared emission, ultrasound wave, microwave radar to detect at present, but effect is unsatisfactory.Such as geomagnetism detecting, in practice, vehicle (is overtaken other vehicles in tunnel by ride lines race during certain check point, rule are handed over not allow but actually to have), judged result has two cars, and next check point only detects that a car passes through, system is thought has car to cast anchor in this section, so be set to " pilot burner " in this section, and be set to " no through traffic " in certain track, consequence is very serious.Further, as mentioned above, the break in traffic rules and regulations situation in tunnel is often also difficult to be investigated and prosecuted, and causes many people's awareness of safety thin, easily causes security incident.
Summary of the invention
The object of the invention is: provide a kind of freeway tunnel road map as the integrated application method of Information Monitoring, its accuracy is high, effectively energy-conservation under the prerequisite ensureing traffic safety in tunnel, overcome the excess illumination of tunnel normal bright lamp illuminator or not enough problem of throwing light on, for driver provides good environment, and the vehicle pass-through situation in tunnel can also be carried out record, for traffic scheduling and query processing, to overcome the deficiencies in the prior art.
The present invention is achieved in that the integrated application method of freeway tunnel road map as Information Monitoring, multiple check point is set in highway is compared with long tunnel, at each check point installation infrared camera to gather the video information of traffick, again the video information of collection is carried out image procossing, to obtain the characteristic information of image, whether described characteristic information comprises has car by check point, the quantity of sending a car, the fastest road speed, vehicle and the car plate of sending a car; Using above-mentioned characteristic information as the controling parameters of LED tunnel lamp light switch and brightness adjustment; Image information data is carried out storage for subsequent use.
2, freeway tunnel road map according to claim 1 is as the integrated application method of Information Monitoring, it is characterized in that: described the video information of collection is carried out image procossing specifically comprise the steps:
1) pre-service of vehicle image: after image gray processing, then denoising is carried out to the image of gray processing, obtain pretreatment image;
2) detection is sent a car and counts: the data that background frame difference method is extracted just in time are used for having judged whether car, and take neighbor frame difference method also can extract the displacement information of vehicle operating;
Count results in the detected object unit interval is the driving quantity by this check point;
3) speed of a motor vehicle calculates: the video object extraction algorithm that employing background difference and inter-frame difference combine is to calculate the passage rate of vehicle;
The type of car is broadly divided into minicar, bus, engineering/freight three class.In the characteristic extraction process of Image Information Processing, the vehicle characteristic information obtained by Background difference, when comparison process, according to the overall size of car, can be compared with existing vehicle, obtains the type information of car.Technical difficult point in information extraction, especially to the process of edge and shade.
Current model recognizing method roughly can be divided into two classes: the method based on pattern-recognition and the method based on images match.The former be according to certain characteristic parameter of vehicle target in concrete space or the distribution of time, sorted out identification with pattern recognition theory; The latter then have been matched vehicle cab recognition by vehicle to be identified and vehicle template.
The vehicle geometric properties extracted, comprises absolute feature (area and girth) and relative characteristic (length breadth ratio).Based on the recognition system of image, geometric properties not only has distinguishability, reliability, and can reduce the complexity of calculation process.
B, car plate set: first the vehicle pictures of acquisition positioned car plate by algorithm; Then Slant Rectify is carried out with Hough algorithm; Carry out Character segmentation and character standard again; Finally will add up line by line, comparison calculation do character and set, finally the data side of extraction be stored;
5) information coding: encode respectively according to collecting characteristic information, is encoded to the real time data for data mining application; As the controling parameters of LED tunnel lamp brightness of illumination adjustment; And as having the image feature information bag of searching mark;
6) respectively using be used for data mining application real time data and as the image feature information bag with searching mark carry out integrated, compression after, by bus mode transmit (or wireless transmission) always store respectively to server set.
Described image gray processing is to image
rGBthree components are weighted and on average obtain final gray-scale value, the important method of the method adopted, maximum value process, mean value method or method of weighted mean; Described image denoising adopts mean filter or medium filtering.
Image feature data is sent to server and preserves, the simultaneously traffick quantity of statistical unit time inner tunnel node on the server, by the traffic in vehicle flowrate and road speed two parameter real-time judge tunnels, when having accident to occur in tunnel overload or tunnel and initiative alarming, and send characteristic image to traffic control center, be convenient to direct traffic and dredge or implement accident rescue.
5, freeway tunnel road map according to claim 2 is as the integrated application method of Information Monitoring, it is characterized in that: by the image information feature data stored in server, traffic police can be assisted to investigate and prosecute violating the regulations; Criminal policeman is assisted to inquire about the information such as time, car plate of suspect's vehicle by this tunnel road.
In process with image processing algorithm characteristic information extraction, must include useful informations such as " transit time, characteristic image, the speed of a motor vehicle, car plate, vehicle flowrates ", these information should store application.By storage and the data mining of these information, the real-time road condition information in tunnel can be obtained; The traffic flow scale in monthly, season, year etc.; When retrieval XXX car is passing through certain tunnel nodes, and obtains its information such as the speed of a motor vehicle, characteristic image.
Owing to have employed above technical scheme, the present invention utilizes infrared photography to obtain video information, the tunnel road map picture that different vehicle light illumination can be avoided to greatest extent to bring and the change of background thereof, be conducive to the difficulty reducing later image process, after the video information of collection is carried out image procossing, obtain the characteristic information of image, the data extracted by background frame difference method are just in time used for having judged whether car, and take neighbor frame difference method also can extract the displacement information of vehicle operating, both combine and can judge whether more accurately to send a car, and other data message of sending a car can be obtained, the video object extraction algorithm combined based on background difference and inter-frame difference calculates car speed, finally using the controling parameters as LED tunnel lamp light switch and brightness adjustment after characteristic information is encoded.Such mode accuracy is high, realizes tunnel " car low beam bright, car cross lamp and go out ", effectively energy-conservation under the prerequisite ensureing traffic safety in tunnel; Overcome the excess illumination of tunnel normal bright lamp illuminator or not enough problem of throwing light on, for driver provides good environment, to improve the security of tunnel driving; Detecting in the process of tunnel traffick information with method for analyzing image, the information that its algorithm exports must comprise the speed of a motor vehicle, quantity, transit time, characteristic image, vehicle, car plate etc. the information of the vehicle by monitoring point, these information are stored, add up the current vehicle flowrate in tunnel in the server, in conjunction with the traffic in speed of a motor vehicle real-time judge tunnel, note abnormalities (tunnel pass through saturated or tunnel in have accident to occur) i.e. initiative alarming, and send characteristic image to traffic control center, be convenient to direct traffic and dredge or implement accident rescue; By data mining assist traffic police investigate and prosecute violating the regulations, assist criminal policeman inquire about the information such as time, car plate of suspect's vehicle by this tunnel road.The inventive method is simple, and easy to implement, with low cost, result of use is good.
Accompanying drawing explanation
Fig. 1 is principle flow chart of the present invention;
Fig. 2 is the vehicle cab recognition process flow diagram based on images match;
Fig. 3 is license plate image positioning flow figure;
Fig. 4 is license plate sloped rectification process flow diagram;
Fig. 5 is License Plate Character Segmentation process flow diagram;
Fig. 6 is the general flow chart process flow diagram that video information is extracted;
Fig. 7 is video information data structural drawing.
Embodiment
Embodiments of the invention: freeway tunnel road map is as the integrated application method of Information Monitoring, multiple check point is set in freeway tunnel, at each check point installation infrared camera to gather the video information of traffick, again the video information of collection is carried out image procossing, to obtain the characteristic information of image, whether described characteristic information comprises has car by check point, the quantity of sending a car and the fastest road speed of sending a car; The controling parameters adjusted using these data as LED tunnel lamp brightness of illumination.
Described the video information of collection is carried out image procossing specifically comprise the steps:
1) pre-service of vehicle image: after image gray processing, then denoising is carried out to the image of gray processing, obtain pretreatment image; The picture quality of camera collection by the impact of various factors, therefore can be necessary to carry out pre-service to original collection image, to improve the quality of image, is conducive to the further analysis to picture material;
2) detection is sent a car and counts: the data that background frame difference method is extracted just in time are used for having judged whether car, and take neighbor frame difference method also can extract the displacement information of vehicle operating; In characteristic extraction process, the data that background frame difference method is extracted just in time are used for having judged whether car, and take neighbor frame difference method also can extract the displacement information of vehicle operating, both combinations can judge whether to send a car more accurately, and can obtain other data message of sending a car.
Count results in the detected object unit interval is the driving quantity by this check point;
3) speed of a motor vehicle calculates: the video object extraction algorithm that employing background difference and inter-frame difference combine is to calculate the passage rate of vehicle;
4) differentiate vehicle and extract car plate:
a, vehicle differentiate:the type of car is broadly divided into minicar, bus, engineering/freight three class, in the characteristic extraction process of Image Information Processing, by the vehicle characteristic information that Background difference obtains, when comparison process, can according to the overall size of car, compare with existing vehicle, obtain the type information of car.Technical difficult point in information extraction, especially to the process of edge and shade;
Current model recognizing method roughly can be divided into two classes: the method based on pattern-recognition and the method based on images match.The former be according to certain characteristic parameter of vehicle target in concrete space or the distribution of time, sorted out identification with pattern recognition theory; The latter then have been matched vehicle cab recognition by vehicle to be identified and vehicle template.The present embodiment adopts and carries out vehicle cab recognition based on the method for images match, and its identification process as shown in Figure 2.
The vehicle geometric properties extracted, comprises absolute feature (area and girth) and relative characteristic (length breadth ratio); Based on the recognition system of image, geometric properties not only has distinguishability, reliability, and can reduce the complexity of calculation process;
B, car plate set: vehicle license plate extraction method is more complicated, first the vehicle pictures of acquisition are positioned car plate by algorithm, as shown in Figure 3; Then Slant Rectify is carried out with Hough algorithm, as shown in Figure 4; Carry out Character segmentation, character standard again, as shown in Figure 5; Finally will add up line by line, comparison calculation does character and set, the data of extraction can be used for storing and information inquiry;
5) information coding: encode respectively according to collecting characteristic information, is encoded to for the real time data of data mining application, the controling parameters as the adjustment of LED tunnel lamp brightness of illumination, and as having the image feature information bag of searching mark;
By extracting image information and after process, finally can obtaining following three class data:
the first kind is real time data.be integrated after the characteristic produced various algorithm is extracted, comprise the characteristic informations such as node number, transit time, license plate number, vehicle, the speed of a motor vehicle, for grasping traffic and the data mining application in tunnel in real time.Intend coding as shown in table 1:
equations of The Second Kind is real-time control information.be the key message being sent to lamp controller, its integrated utilization algorithm obtains, by " with or without driving, carry out vehicle speed, quantity of sending a car " 3 information in tunnel.It " has car " opens illumination, " road speed " in order to adjust the brightness of illumination (being as the criterion with the fastest information of vehicles) of Tunnel Lamp, " quantity of sending a car " for judging whether all enter next section (following up vehicle especially by parallel vehicles during this check point, continuously) through the vehicle of this node, intends coding as shown in table 2:
3rd class is the image feature information bag with searching mark.produce with particular algorithm, the image feature data packets of information also can reduced with particular algorithm, intend coding as shown in table 3:
6) view data of transmission and preservation is not the raw video image of camera collection, and after being through information processing, the characteristic of reducible characteristic image; Respectively will be used for data mining application real time data, and as the image feature information bag with searching mark carry out integrated, compression after, by bus mode transmit (or wireless transmission) always store respectively to server set.
7) traffic in tunnel is grasped in real time, while primary sources are sent to server stores, add up the current vehicle flowrate in tunnel in the server, in conjunction with the traffic in speed of a motor vehicle real-time judge tunnel, note abnormalities (tunnel pass through saturated or tunnel in have accident to occur) i.e. initiative alarming, and send characteristic image to traffic control center, be convenient to direct traffic and dredge or implement accident rescue;
8) how query history information from large nuber of images information
By the database that primary sources store, the tunnel nodes that XXX car passed through in certain time can be retrieved, and obtain the information such as its speed of a motor vehicle, this car can be found fast by character image data during this node by the image retrieval code in the 3rd class data message storehouse if desired.Video information data structure as shown in Figure 7.
Of the present inventionly be not limited to the embodiment described in embodiment, those skilled in the art's technical scheme according to the present invention draws and other embodiment belongs to technological innovation scope of the present invention equally.Obvious those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (5)
1. a freeway tunnel road map is as the integrated application method of Information Monitoring, it is characterized in that: in freeway tunnel, check point is set, at each check point installation infrared camera to gather the video information of traffick, again the video information of collection is carried out image procossing, to obtain the characteristic information of image, whether described characteristic information comprises has car by check point, the quantity of sending a car, the fastest road speed, vehicle and the car plate of sending a car; Using above-mentioned characteristic information as the controling parameters of LED tunnel lamp light switch and brightness adjustment; Dredge as directing traffic and the reference information of accident rescue; Image information data is carried out storage for subsequent use.
2. freeway tunnel road map according to claim 1 is as the integrated application method of Information Monitoring, it is characterized in that: described the video information of collection is carried out image procossing specifically comprise the steps:
1) pre-service of vehicle image: after image gray processing, then denoising is carried out to the image of gray processing, obtain pretreatment image;
2) detection is sent a car and counts: the data that background frame difference method is extracted just in time are used for having judged whether car, and take neighbor frame difference method also can extract the displacement information of vehicle operating;
Count results in the detected object unit interval is the driving quantity by this check point;
3) speed of a motor vehicle calculates: the video object extraction algorithm that employing background difference and inter-frame difference combine is to calculate the passage rate of vehicle;
B, car plate set: first the vehicle pictures of acquisition positioned car plate by algorithm; Then Slant Rectify is carried out with Hough algorithm; Carry out Character segmentation and character standard again; Finally will add up line by line, comparison calculation do character and set, finally the data side of extraction be stored;
5) information coding: encode respectively according to collecting characteristic information, be encoded to for the real time data of data mining application, the controling parameters as LED tunnel lamp light switch and brightness adjustment, and as having the image feature information bag of searching mark;
6) respectively using be used for data mining application real time data and as the image feature information bag with searching mark carry out integrated, compression after, by bus mode transmit (or wireless transmission) always store respectively to server set.
3. freeway tunnel road map according to claim 2 is as the integrated application method of Information Monitoring, it is characterized in that: described image gray processing is to image
rGBthree components are weighted and on average obtain final gray-scale value, the important method of the method adopted, maximum value process, mean value method or method of weighted mean; Described image denoising adopts mean filter or medium filtering.
4. freeway tunnel road map according to claim 2 is as the integrated application method of Information Monitoring, it is characterized in that: image feature data is sent to server and preserves, the simultaneously traffick quantity of statistical unit time inner tunnel node on the server, by the traffic in vehicle flowrate and road speed two parameter real-time judge tunnels, when having accident to occur in tunnel overload or tunnel and initiative alarming, and send characteristic image to traffic control center, be convenient to direct traffic and dredge or implement accident rescue.
5. freeway tunnel road map according to claim 2 is as the integrated application method of Information Monitoring, it is characterized in that: by the image information feature data stored in server, traffic police can be assisted to investigate and prosecute violating the regulations; Criminal policeman is assisted to inquire about the information such as time, car plate of suspect's vehicle by this tunnel road.
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| CN106448180A (en) * | 2016-10-24 | 2017-02-22 | 东南大学 | Long-and-large-tunnel traffic-event real-time detection system and method thereof |
| CN107154045A (en) * | 2017-03-31 | 2017-09-12 | 南京航空航天大学 | A kind of guiding region based on computer vision rolling line vehicle accurate positioning method violating the regulations |
| CN107845264A (en) * | 2017-12-06 | 2018-03-27 | 西安市交通信息中心 | A kind of volume of traffic acquisition system and method based on video monitoring |
| CN108010374A (en) * | 2017-12-07 | 2018-05-08 | 钱月英 | A kind of intelligent parking lot and its method of work with quick guiding function |
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| CN110662330A (en) * | 2019-10-11 | 2020-01-07 | 横店集团得邦照明股份有限公司 | Tunnel lamp dimming and color mixing method based on light induction and vehicle detection |
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| CN110662330A (en) * | 2019-10-11 | 2020-01-07 | 横店集团得邦照明股份有限公司 | Tunnel lamp dimming and color mixing method based on light induction and vehicle detection |
| CN111785084A (en) * | 2020-05-27 | 2020-10-16 | 诠航科技有限公司 | Tunnel patrol machine |
| CN112085023A (en) * | 2020-09-14 | 2020-12-15 | 重庆紫光华山智安科技有限公司 | Motor vehicle license plate recognition method, system, medium and terminal based on infrared imaging |
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| CN112532953A (en) * | 2020-12-23 | 2021-03-19 | 深圳市朝阳辉电气设备有限公司 | Data processing method and system for intelligent city road lighting control |
| CN112532953B (en) * | 2020-12-23 | 2021-07-06 | 深圳市朝阳辉电气设备有限公司 | Data processing method and system for intelligent city road lighting control |
| CN114980405A (en) * | 2022-05-20 | 2022-08-30 | 兰州交通大学 | Cloud computing tunnel illumination intelligent control system based on machine vision recognition traffic flow characteristics |
| WO2024060138A1 (en) * | 2022-09-22 | 2024-03-28 | Tridonic Gmbh & Co Kg | System for controlling lighting equipment, controller and method thereof |
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| CN116153092B (en) * | 2022-12-29 | 2024-03-22 | 北京中科神通科技有限公司 | Tunnel traffic safety monitoring method and system |
| CN117367411A (en) * | 2023-12-07 | 2024-01-09 | 深圳市拓安科技有限公司 | Safe navigation method and system for AI (advanced technology attachment) internet of things tunnel |
| CN117367411B (en) * | 2023-12-07 | 2024-04-16 | 深圳市拓安科技有限公司 | Safe navigation method and system for AI (advanced technology attachment) internet of things tunnel |
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